运行Gravital Discord ML聊天Bot遇TypeError：缺少intents参数

云原生阿岚

2026-8-1

问题

启动Gravital这款Discord机器学习聊天Bot时，运行main.py触发以下错误：

File "D:\Gravital-master\Bot\bot.py", line 19, in __init__
    super().__init__()
TypeError: __init__() missing 1 required keyword-only argument: 'intents'

main.py本身运行正常，但调用bot.py时出现问题。尝试更新疑似过时的代码未解决，相关代码如下：

bot.py代码

import random
import datetime
import discord
from .ai import ChatAI
from discord.ext import commands

class ChatBot(discord.Client):
    """ChatBot handles discord communication. This class runs its own thread that
    persistently watches for new messages, then acts on them when the bots username
    is mentioned. It will use the ChatAI class to generate messages then send them
    back to the configured server channel.

    ChatBot inherits the discord.Client class from discord.py
    """
    intents = discord.Intents.all()
    bot = commands.Bot(command_prefix='.',intents=intents)
    def __init__(self, maxlines) -> None:
        self.model_name = "355M"  # Overwrite with set_model_name()
        super().__init__()
        self.maxlines = maxlines  #see comment on main.py line 33

    async def on_ready(self) -> None:
        """ Initializes the GPT2 AI on bot startup """
        print("Logged on as", self.user)
        print(self.user.id)
        self.chat_ai = ChatAI(self.maxlines)  # Ready the GPT2 AI generator

    async def on_message(self, message: discord.Message) -> None:
        """ Handle new messages sent to the server channels this bot is watching """
        if message.author == self.user:
            # Skip any messages sent by ourselves so that we don't get stuck in any loops
            return

        # Check to see if bot has been mentioned
        has_mentioned = False
        for mention in message.mentions:
            if str(mention) == self.user.name+"#"+self.user.discriminator:
                has_mentioned = True
                break

        # Only respond randomly (or when mentioned), not to every message
        if random.random() > float(self.response_chance) and has_mentioned == False:
            return

        async with message.channel.typing():
            # Get last n messages, save them to a string to be used as prefix
            context = ""
            # TODO: make limit parameter # configurable through command line args
            history = await message.channel.history(limit=9).flatten()
            history.reverse()  # put in right order
            for msg in history:
                # "context" now becomes a big string containing the content only of the last n messages, line-by-line
                context += msg.content + "\n"
            # probably-stupid way of making every line but the last have a newline after it
            context = context.rstrip(context[-1])
            
            # Print status to console
            print("----------Bot Triggered at {0:%Y-%m-%d %H:%M:%S}----------".format(datetime.datetime.now()))
            print("-----Context for message:")
            print(context)
            print("-----")

            # Process input and generate output
            processed_input = self.process_input(context)
            response = ""
            response = self.chat_ai.get_bot_response(processed_input)
            print("----Response Given:")
            print(response)
            print("----")

            await message.channel.send(response)# sends the response

    def process_input(self, message: str) -> str:
        """ Process the input message """
        processed_input = message
        # Remove bot's @s from input
        return processed_input.replace(("<@!" + str(self.user.id) + ">"), "")

    def set_response_chance(self, response_chance: float) -> None:
        """ Set the response rate """
        self.response_chance = response_chance

    def set_model_name(self, model_name: str = "355M") -> None:
        """ Set the GPT2 model name """
        self.model_name = model_name

main.py代码

#!/usr/bin/env python3

import argparse
from Bot.bot import ChatBot
from Bot.ai import ChatAI


def main():
    """Main function"""
    parser = argparse.ArgumentParser(description="Amalgam")
    parser.add_argument("--token", dest="MTA3MjMyNDc3OTgyODMxODIyOA.GKZNRE.1Wjpz1KPDzN6HohbaptBmYux-wzdU10u6DRKVM",
                        help="Your discord bot's token. Required for launching the bot in non-test mode!")
    parser.add_argument("--response_chance",
                        dest="response_chance",
                        default=1,
                        help="How likely the bot is to respond to a message in which it is not pinged. For example: give 0.25 for a 25%% chance, give 0 for no random responses. Defaults to 0.")
    parser.add_argument("--test", dest="test", action="store_true",
                        help="Test model by talking to the AI right in the terminal.")
    parser.add_argument("--maxlines", dest="maxlines", help="The maximum number of lines that the AI will try to generate per message. Will always generate random amount up to this value, which defaults to 1.",
                        default=1)
    parser.add_argument("--train", dest="train", action="store_true",
                        help="Trains the model on a file named dataset.txt. Only use this if you have a good NVIDIA GPU. Overwrites existing trained_model folder. Currently untested!")
    args = parser.parse_args()

    if args.test:
        ai = ChatAI(args.maxlines)  # see comment on line 33
        print("Type \"exit!!\" to exit.")
        while True:
            inp = input("> ")
            if(inp == "exit!!"):
                return
            print(ai.get_bot_response(message=inp))
    elif args.train:
        from aitextgen import aitextgen #lazily import aitextgen. idk if this matters, but i thought it might speed up start times for when you're not training the AI as opposed to having this at the top
        ai = aitextgen(to_gpu=True)
        ai.train("dataset.txt",
                      line_by_line=False,
                      from_cache=False,
                      num_steps=55000, #Takes less than an hour on my RTX 3060. Increase if you want, but remember that training can pick up where it left off after this finishes.
                      generate_every=1000,
                      save_every=1000,
                      learning_rate=1e-3,
                      fp16=True, #this setting improves memory efficiency, disable if it causes issues
                      batch_size=2,
                      )
    else:
        # probably a cleaner way to do this than to pass the maxlines param all the way through? submit PR if you know
        client = ChatBot(args.maxlines)
        client.set_response_chance(args.response_chance)
        if args.token is None:
            raise Exception(
                "You are trying to launch the bot but have not included your discord bot's token with --token. Please include this and try again.")
        client.run(args.token)


if __name__ == "__main__":
    main()

解决方案

错误根源是discord.py v2.0+版本强制要求实例化discord.Client时必须传入intents参数，原代码虽定义了intents类属性，但父类初始化时未传递该参数。另外代码中冗余定义的commands.Bot实例完全无用，可直接删除。

修改步骤

修改bot.py
- 删除冗余行bot = commands.Bot(command_prefix='.',intents=intents)
- 将父类初始化代码super().__init__()改为super().__init__(intents=self.intents)，传递定义好的intents参数

修改后的bot.py代码：

import random
import datetime
import discord
from .ai import ChatAI
from discord.ext import commands

class ChatBot(discord.Client):
    """ChatBot handles discord communication. This class runs its own thread that
    persistently watches for new messages, then acts on them when the bots username
    is mentioned. It will use the ChatAI class to generate messages then send them
    back to the configured server channel.

    ChatBot inherits the discord.Client class from discord.py
    """
    intents = discord.Intents.all()
    def __init__(self, maxlines) -> None:
        self.model_name = "355M"  # Overwrite with set_model_name()
        super().__init__(intents=self.intents)
        self.maxlines = maxlines  #see comment on main.py line 33

    async def on_ready(self) -> None:
        """ Initializes the GPT2 AI on bot startup """
        print("Logged on as", self.user)
        print(self.user.id)
        self.chat_ai = ChatAI(self.maxlines)  # Ready the GPT2 AI generator

    async def on_message(self, message: discord.Message) -> None:
        """ Handle new messages sent to the server channels this bot is watching """
        if message.author == self.user:
            # Skip any messages sent by ourselves so that we don't get stuck in any loops
            return

        # Check to see if bot has been mentioned
        has_mentioned = False
        for mention in message.mentions:
            if str(mention) == self.user.name+"#"+self.user.discriminator:
                has_mentioned = True
                break

        # Only respond randomly (or when mentioned), not to every message
        if random.random() > float(self.response_chance) and has_mentioned == False:
            return

        async with message.channel.typing():
            # Get last n messages, save them to a string to be used as prefix
            context = ""
            # TODO: make limit parameter # configurable through command line args
            history = await message.channel.history(limit=9).flatten()
            history.reverse()  # put in right order
            for msg in history:
                # "context" now becomes a big string containing the content only of the last n messages, line-by-line
                context += msg.content + "\n"
            # probably-stupid way of making every line but the last have a newline after it
            context = context.rstrip(context[-1])
            
            # Print status to console
            print("----------Bot Triggered at {0:%Y-%m-%d %H:%M:%S}----------".format(datetime.datetime.now()))
            print("-----Context for message:")
            print(context)
            print("-----")

            # Process input and generate output
            processed_input = self.process_input(context)
            response = ""
            response = self.chat_ai.get_bot_response(processed_input)
            print("----Response Given:")
            print(response)
            print("----")

            await message.channel.send(response)# sends the response

    def process_input(self, message: str) -> str:
        """ Process the input message """
        processed_input = message
        # Remove bot's @s from input
        return processed_input.replace(("<@!" + str(self.user.id) + ">"), "")

    def set_response_chance(self, response_chance: float) -> None:
        """ Set the response rate """
        self.response_chance = response_chance

    def set_model_name(self, model_name: str = "355M") -> None:
        """ Set the GPT2 model name """
        self.model_name = model_name

修复main.py的参数错误
原代码中parser.add_argument("--token")的dest参数设置错误，导致无法正确获取传入的token值，修改为：

parser.add_argument("--token", dest="token", help="Your discord bot's token. Required for launching the bot in non-test mode!")

内容的提问来源于stack exchange，提问作者feelbits

运行Gravital Discord ML聊天Bot遇TypeError：缺少intents参数

问题 #

bot.py代码 #

main.py代码 #

解决方案 #

修改步骤 #

问题

bot.py代码

main.py代码

解决方案

修改步骤